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  • Upcoming Classes

    Configuring Analytics with PI AF Online Course (English)
    Apr 29 - May 17, 2019 | Online


    In this online course, you will explore the power of Asset Framework (AF) by configuring various types of Asset Analytics and Notifications. We will guide you on how to set up expressions for multi-line analysis, configure rollups to aggregate attributes and use Event Frames and Notifications to automatically detect and alert process events associated with assets.

    Through hands-on exercises and final project, you will learn how to set up analyses using AF templates in order to deploy the analyses across the assets, to create tags in AF to store calculation results and also to backfill the analyses. Once the analyses are set up, you will be able to leverage the PI client tools such as PI DataLink and PI Vision to help visualize and understand the analyses.

    By the end of the course, you will be able to:
    • Use analysis syntax to create simple analyses
    • Create different types of analyses: expressions, rollups and event frames
    • Set up analyses using templates in AF
    • Manage, backfill and recalculate analyses
    • Visualize event frames using PI Vision and PI DataLink
    • Configure and customize notification templates
    • Set up dynamic notification subscribers

    Audience

    This course is best suited for an individual who is responsible for setting up and maintaining analytics using asset structures available in the AF Server.

    Prerequisites

    This course is for intermediate to advanced users of Asset Framework (AF) who are already familiar with the basics of AF such as:
    • working with PI System Explorer (PSE)
    • building and managing asset hierarchies in AF using templates
    • working with different data reference types: table lookup, formula, PI Point, etc.
    Students without prior knowledge of AF should take the Building Asset Hierarchies with PI AF online course first.

    Additionally, familiarity with PI Clients tools is expected. Students enrolled in this course should be able to:
    • Create a basic report using PI Data Link
    • Create asset-based displays in PI Vision
    Students without prior knowledge of PI client tools should review the following online courses or public course workbook:

    Software Requirements

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • Access to Asset Framework 2016 or later (PI AF Server and PI AF Client) with PI Analysis Service set up (port 5463 needs to be open)
      • Note: Asset Framework 2017 R2 or later is required to practice the following sections:
        • Output analyses on event frames
        • Dynamic endpoints for Notification subscribers
    • Access to new AF databases with read/write permissions (i.e. permissions to modify and create templates, attributes, analyses and notifications)
    • Access to the PI Data Archive with read/write permissions to create tags. Because analyses output tags are created in this course, access to a development or sandbox PI Data Archive server is encouraged.
    • Access to PI Client tools, such as PI Data Link 2013 or later and PI Vision 2016 or later (previously known as PI Coresight)

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Configuring PI Data Archive Security Online Course (English)
    Apr 29 - May 17, 2019 | Online


    In this online course, you will learn the skills necessary to configure security on the PI Data Archive using OSIsoft best practices. Specifically, you will learn how to create new PI Identities and assign them custom permissions on different areas of the PI Data Archive corresponding to the security needs of your users. Through hands-on exercises and course videos, you will practice how to tighten down your PI Data Archive security model to allow the minimum permissions needed for users and applications. A guided final project will help to reinforce concepts and skills covered in the video lectures.

    Note: Learners can use their own development/test PI System to complete the course. We do not recommend practising security in a production environment. The software requirements for completing the exercises and the final project are as follows:
    • Access to Active Directory
    • PI Data Archive 3.4.380 or later
    • PI AF Server 2016 or later
    • A PI Interface using PI API and PI Buffer Subsystem 2016 or later


    Don't have access to a PI System sandbox?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Creating Basic Reports with PI DataLink Online Course (English)
    Apr 29 - May 17, 2019 | Online
    In this online course, you will learn how to use this tool to access your process data, create meaningful reports, and use them to make key decisions about your plant performance. PI DataLink is our add-in that allows users to access and deliver data to and from Microsoft Excel and create easy-to-read reports.

    Through online videos and hands-on exercises, we will guide you on how to obtain current and archived values for a tag, as well as to retrieve compressed and sampled data. Additionally, this course leverages the intuitive Asset Framework structures to enable you to retrieve key attributes of an asset, such as current, archived, compressed, and sampled values.

    Audience

    This course is for beginning users of the PI System and is often an individual’s first look at OSIsoft's products. PI System managers often take this class as well. Sometimes members of a PI System project team take this class to get an “executive overview” of the capabilities of the PI System. System integrators who work with OSIsoft customers should also take this class.Students in the past have been:
    • Engineers, production managers, process operators, instrument technicians, project team members, information system analysts and computer support personnel

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Building PI System Assets and Analytics with PI AF (English)
    Apr 30 - May 03, 2019 | Brisbane, Australia

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. (9:00 a.m. in Europe, Singapore, Australia and New Zealand) and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Building Basic Displays with PI ProcessBook Online Course (English)
    May 06 - May 24, 2019 | Online


    In this online course, you will learn how to use PI ProcessBook to access your process data. Through online videos and hands-on exercises, we will guide you on how to create a variety of displays, such as trends and bar graphs, to monitor your process. This course leverages the power of the intuitive Asset Framework structures to enable you to display attributes of an asset, search in AF, and build element relative displays.



    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Configuring a Simple PI System Online Course (English)
    May 06 - May 24, 2019 | Online


    This course will provide you with a working knowledge of the tasks required to configure and maintain a simple PI System, focusing primarily on PI points (also known as PI tags), interfaces and buffering. During this self-paced course, you will gain exposure on data flow through a simple PI System, connection mechanisms to PI Data Archive, and interface startup process. This course is designed to provide you lots of hands-on activities that involve working with various PI System Management utilities, such as PI System Management Tools and PI Interface Configuration Utility.

    By the end of the course, you will be able to:
    • Describe the data flow in a simple PI System
    • Identify the directory structure of the PI folder
    • Find and view PI Point data using PI System Management Tools (SMT)
    • Change the location of archive and queue files
    • Describe PI System backup methodology and configure a local backup of the PI System
    • Install and configure PI Interface for OPC DA (Read-Only)
    • Create PI Points using PI SMT, PI Builder, and AF
    • Configure and test PI Buffering Subsystem

    Audience

    This course is best suited for a PI System administrator who is responsible for setting up and maintaining the PI System. It is designed to help perform administrative tasks as well as introduce the tools available for common management tasks and troubleshooting.

    Prerequisites

    • Basic directory navigation and management (Windows Explorer, creating and finding files)
    • Basic Windows and Network security (why you log in, what is a domain, etc.)
    • Familiarity with your real time data sources (control systems, PLCs, OPC)

    Software Requirements

    Note: Learners are encouraged to use their own PI System development environment. This allows each learner to leave the course with something immediately valuable in their enterprise. We do not recommend practicing configuration and security in a production environment. The software requirements for completing the exercises and the final project are as follows:
    • Access to Active Directory
    • PI Data Archive (3.4.380 or later) with PI System Management Tool (PI SMT)
    • PI AF Server 2016 or later with PI System Explorer
    • An interface using PI API and PI Buffer Subsystem 2016 or later
    • Permissions to create and update PI Points
    • Optional: PI Builder

    Don't have access to a PI System sandbox?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Criando Relatórios Básicos com PI DataLink (Portuguese)
    May 06 - May 24, 2019 | Online
    Neste curso você aprenderá como utilizar esta ferramenta cliente para acessar seus dados de processo em tempo real, criar relatórios dinâmicos e utilizá-los no suporte a tomada de decisões na sua empresa. O PI Data Link é o suplemento do MS Excel que permite aos usuários trabalhar com esta informação. Através de atividades passo a passo, você será instruído a obter valores em tempo real e históricos para uma tag, além de trazer dados para um período. Este curso também mostrará como utilizar estruturas do PI AF para mostrar atributos e totalizadores de informação em seu s valores reais e históricos.

    É importante ressaltar que cada usuário deverá utilizar seu próprio software e estruturas de dados, fazendo esta atividade com dados da própria unidade. A intenção é fazer com que os relatórios criados possam ter um impacto direto no seu dia de operação.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to immediately leave the course with something valuable to their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Customizing PI Vision with Extensibility Online Course (English)
    May 06 - May 24, 2019 | Online


    This online course introduces you to creating your own custom symbols and tool panes using the Extensibility Framework available in PI Vision 3.x. Throughout the course, you will create symbols with one data point, multiple data points, symbols with customizable configurations and custom tools panes using JavaScript (with AngularJS), HTML, and CSS. There are 11 hands-on exercises tailored to apply the knowledge you've learned in the video lectures. Each exercise features an extra credit so that you can push yourself to learn more than what the course directly covers.

    By the end of the course, you will have the opportunity to create your own custom symbol or tool pane that is meaningful to you and your organization.

    Disclaimer


    PI Vision Extensibility is a CTP (Community Technical Preview). Although similar concepts of this extensibility model will be applied in PI Vision 4.x, we do expect ‘breaking changes’ to occur. Developers should take this into consideration when planning to start building custom capabilities with the existing extensibility architecture. Also, PI Vision 4.x will be developed using Angular 4, while PI Vision 3.x was developed based on Angular JS.

    This online course is available to help you preview the possibilities and power of extensibility in PI Vision 3.x. Due to the nature of the CTP status of this release, this course is offered free of charge to you.

    Items to consider:
    • Often a valuable extension can be achieved in a matter of days allowing almost immediate value. For this type of project, little hesitation should be considered to move forward regardless of future changes to the extensibility architecture.
    • Projects that will require a considerable amount of effort and potential rework based on the future release may want to consider the impact of compatibility.
    With breaking changes anticipated, OSIsoft does not plan to change the CTP status of PI Vision Extensibility until the release of PI Vision 4.x with Angular 4. For more information, please refer to this post by the PI Visualization team.

    When the extensibility feature in PI Vision is released for general availability in the future, we will come back with an updated official online course.

    Audience

    This course is best suited for developers who are interested in learning different options to customize the PI Vision 3.x

    Prerequisites

    • This course requires basic knowledge of JavaScript, HTML, and CSS
    • Familiarity with AngularJS and Git/Github is an asset

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 or later (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Exposing PI Data with the PI SQL Framework Online Course (English)
    May 06 - May 24, 2019 | Online


    This course is intended to prepare you to develop the best way for your organization to integrate the PI System into applications built for relational databases. Generic SQL knowledge will not be taught in this course. The course has multiple paths depending on which products you will use. To successfully complete the course, all students must complete the videos and exercises pertaining to PI SQL Client/RTQP. The additional optional exercises and videos are tagged with the query engine or endpoint that they pertain to. If these do not apply to your scenario, feel free to skip these sections.
    • OLEDB Provider - These sections are for those still using PI OLEDB Provider for the query engine, as opposed to the new RTQP Engine
    • OLEDB Enterprise - These sections are for those still using PI OLEDB Enterprise for the query engine, as opposed to the new RTQP Engine
    • ODBC - These sections are primarily for those using applications that require an ODBC connection to data sources
    • JDBC - These sections are primarily for those using Java and JDBC in their projects

    By the end of the course, you will be able to:
    • Select the optimal PI SQL product(s) and architecture for your environment
    • Set up a simple PI SQL framework architecture
    • Develop PI SQL queries against one or more of the query engines in the PI SQL Framework
    • Integrate PI SQL queries into third party SQL based applications such as Microsoft SQL Server Integration and Reporting Services

    Audience

    This course is primarily suited for the professional who develops applications that interact with the PI System in a relational database (SQL) manner. It is for someone who needs to understand the various product options for interacting with the PI System using SQL queries, develop SQL queries to run against these query engines, and integrate these queries into production applications.


    Prerequisites

    • Basic knowledge of the PI System (AF hierarchies, elements, attributes, templates, PI points, etc), and your own data and AF hierarchies.
    • This course will not cover basic SQL query writing.
      • This includes things such as SELECT, FROM, WHERE, INNER JOIN, CROSS APPLY
      • For PI OLEDB Provider Write queries, this includes INSERT, UPDATE, and DELETE
      • For assistance in this topic, we recommend a training site such as General SQL Training - w3schools

    Software Requirements

    Note:Learners are can use their own test PI System environment to complete the majority of the course. However, we do not recommend practising administrative tasks in a production environment. This course contains optional tracks. The software requirements for completing the exercises and the final project are as follows.

    To successfully complete the course, the PI SQL Client/RTQP sections must be covered. Therefore, all students will need the following at a minimum:
    • Access to the following Install Kits: PI SQL Client 2018 (4.0.18208.1)
    • PI Data Archive
    • AF Server 2018 or later and have the PI SQL Data Access Server (RTQP Engine) installed
    • For ODBC or JDBC use cases: PI SQL Client 2018 R2 (4.1.18355.1)
    • PI OLEDB Enterprise is currently required for the generation of sample NuGreen event frames. These event frames are used in the course for sample queries, but if you have your own event frames to query then PI OLEDB Enterprise is not required
    Optionally, students may choose to perform either of the PI OLEDB Provider or PI OLEDB Enterprise exercises. For these, students will need the following:
    • Access to the following Install Kits: PI OLEDB Enterprise 2017 R2A (1.4.3.17)
    • For ODBC use cases: PI ODBC Driver 2016 R2 (3.2.16300.1), PI SQL Data Access Server (OLEDB) 2018 (1.6.18206.1)
    • For JDBC use cases: PI JDBC Driver 2018 (1.6.18206.1), PI SQL Data Access Server (OLEDB) 2018 (1.6.18206.1), Java Runtime Environment 8 or later

    Don't have access to your own PI System?

    If you don't have access to the software listed above, you can purchase the Exposing PI Data with the PI SQL Framework - Cloud Envrionment. This an isolated virtual environment, designed to enhance your learning experience with this course. You will receive access for 21 days since the first launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    PI System Architecture, Planning, & Implementation (English)
    May 07 - May 10, 2019 | Perth, Australia

    The PI System Architecture, Planning, & Implementation class deals with the issues surrounding the implementation of a PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the installation of both the Data Archive and AF Server. In this class each student will work to successfully install a High Availability PI System, from interface to visualization tools. You will spend valuable time discussing the components and their requirements so you can understand the best way the PI System will fit into your own Enterprise.

    This course requires no previous knowledge of the PI System.

    The class is four days long. Class starts at 8:30 a.m. (9:00 a.m. in Europe, Singapore, Australia and New Zealand) and ends at 4:30 p.m. Lunch breaks are at 12 p.m. each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Visualizing PI System Data (English)
    May 07 - May 09, 2019 | Houston, USA
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Vision. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. (9:00 a.m. in Europe, Singapore, Australia and New Zealand) and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Building Asset Hierarchies with PI AF Online Course (English)
    May 13 - May 31, 2019 | Online


    In this online course, you will learn the skills needed to successfully model your processes and equipment using Asset Framework (AF). This course discusses the methodologies needed to build representations of assets (AF Elements) and their associated data (AF Attributes). You will see how elements and attributes help users successfully organize assets into hierarchies and unify data from multiple sources, such as real-time data from the PI Data Archive, metadata from relational sources and calculated data from AF formulas.

    Through online videos and hands-on practices, you will learn how to templatize elements and add Units of Measure (UOM) to standardize models across different assets or units of an organization. By the end of the course, you will be able to leverage templates to scale models out and compare like assets using OSIsoft client tools.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    Visualizing PI System Data with PI Vision Online Course (English)
    May 13 - May 31, 2019 | Online


    In this self-paced online course, you will learn how to easily build dynamic, graphical, interactive web-based dashboards with PI Vision. This course will be dedicated to a series of exercises where the student is challenged to solve real-world problems using PI Vision. By the end of the course, you will have a working knowledge and new skills to use toward problem-solving with the PI System Data.

    Final Project - Build A Set of PI Vision Displays To Monitor My Process


    The course ends with a challenge to use all of the PI Vision features presented in class to build a complete data solution. The goal of this is two-fold: to reinforce in the student the new skills learned in the class and to allow more time for the student to ask questions and get clarification on concepts prior to returning to their job. If a student has access to their own PI System data, they will use this to build displays. If the student does not have access to their own data, they will use an AF Example Kit with demo data for an industry of their choosing.

    Audience

    This class is for beginning users of PI System data, and is often an individual’s first look at OSIsoft's products or PI Vision.

    Prerequisites

    No specific knowledge of the PI System software is required.

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 or later (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Cloud Environment, an isolated and safe PI system sandbox, designed to enhance your learning experience. You will have access to the Cloud Environment for 21 days since the initial launch.

    Add the Course Cloud Environment (Optional - Includes Additional Cost)
    PI System Administration for IT Professionals (English)
    May 14 - May 17, 2019 | Montreal, Canada

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. (9:00 a.m. in Europe, Singapore, Australia and New Zealand) and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    PI System Administration for IT Professionals (English)
    May 14 - May 17, 2019 | Philadelphia, USA

    The PI System Administration for IT Professionals class is designed for the Information Technology Professional who is tasked with maintaining the PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the tasks required to maintain a PI System and support the technical needs of its users. It covers the utilities provided with the PI System, as well as tag and system configuration. This class covers common management tasks, understanding the data flow, and troubleshooting procedures.

    The class is four days long. Class starts at 8:30 a.m. (9:00 a.m. in Europe, Singapore, Australia and New Zealand) and ends at approximately 4:30 p.m. Lunch breaks are at noon each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

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